Alert button
Picture for Christian Riess

Christian Riess

Alert button

FaceForensics++: Learning to Detect Manipulated Facial Images

Jan 25, 2019
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner

Figure 1 for FaceForensics++: Learning to Detect Manipulated Facial Images
Figure 2 for FaceForensics++: Learning to Detect Manipulated Facial Images
Figure 3 for FaceForensics++: Learning to Detect Manipulated Facial Images
Figure 4 for FaceForensics++: Learning to Detect Manipulated Facial Images
Viaarxiv icon

ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection

Dec 06, 2018
Davide Cozzolino, Justus Thies, Andreas Rössler, Christian Riess, Matthias Nießner, Luisa Verdoliva

Figure 1 for ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection
Figure 2 for ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection
Figure 3 for ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection
Figure 4 for ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection
Viaarxiv icon

A 3-D Projection Model for X-ray Dark-field Imaging

Nov 11, 2018
Shiyang Hu, Lina Felsner, Andreas Maier, Veronika Ludwig, Gisela Anton, Christian Riess

Figure 1 for A 3-D Projection Model for X-ray Dark-field Imaging
Figure 2 for A 3-D Projection Model for X-ray Dark-field Imaging
Figure 3 for A 3-D Projection Model for X-ray Dark-field Imaging
Figure 4 for A 3-D Projection Model for X-ray Dark-field Imaging
Viaarxiv icon

A Gentle Introduction to Deep Learning in Medical Image Processing

Oct 12, 2018
Andreas Maier, Christopher Syben, Tobias Lasser, Christian Riess

Figure 1 for A Gentle Introduction to Deep Learning in Medical Image Processing
Figure 2 for A Gentle Introduction to Deep Learning in Medical Image Processing
Figure 3 for A Gentle Introduction to Deep Learning in Medical Image Processing
Figure 4 for A Gentle Introduction to Deep Learning in Medical Image Processing
Viaarxiv icon

Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data

Sep 17, 2018
Thomas Köhler, Michel Bätz, Farzad Naderi, André Kaup, Andreas Maier, Christian Riess

Figure 1 for Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data
Figure 2 for Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data
Figure 3 for Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data
Figure 4 for Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data
Viaarxiv icon

Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images

Jul 08, 2018
Sergiu Deitsch, Vincent Christlein, Stephan Berger, Claudia Buerhop-Lutz, Andreas Maier, Florian Gallwitz, Christian Riess

Figure 1 for Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images
Figure 2 for Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images
Figure 3 for Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images
Figure 4 for Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images
Viaarxiv icon

Segmentation of Photovoltaic Module Cells in Electroluminescence Images

Jun 18, 2018
Sergiu Deitsch, Claudia Buerhop-Lutz, Andreas Maier, Florian Gallwitz, Christian Riess

Figure 1 for Segmentation of Photovoltaic Module Cells in Electroluminescence Images
Figure 2 for Segmentation of Photovoltaic Module Cells in Electroluminescence Images
Figure 3 for Segmentation of Photovoltaic Module Cells in Electroluminescence Images
Figure 4 for Segmentation of Photovoltaic Module Cells in Electroluminescence Images
Viaarxiv icon

Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings

May 28, 2018
AmirAbbas Davari, Nikolaos Sakaltras, Armin Haeberle, Sulaiman Vesal, Vincent Christlein, Andreas Maier, Christian Riess

Figure 1 for Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings
Figure 2 for Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings
Figure 3 for Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings
Figure 4 for Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings
Viaarxiv icon

Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems

Apr 06, 2018
Franziska Schirrmacher, Thomas Köhler, Christian Riess

Figure 1 for Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
Figure 2 for Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
Figure 3 for Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
Figure 4 for Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
Viaarxiv icon

FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces

Mar 24, 2018
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner

Figure 1 for FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces
Figure 2 for FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces
Figure 3 for FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces
Figure 4 for FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces
Viaarxiv icon